Book Image

VMware Performance and Capacity Management, Second Edition - Second Edition

By : Sunny Dua
Book Image

VMware Performance and Capacity Management, Second Edition - Second Edition

By: Sunny Dua

Overview of this book

Performance management and capacity management are the two top-most issues faced by enterprise IT when doing virtualization. Until the first edition of the book, there was no in-depth coverage on the topic to tackle the issues systematically. The second edition expands the first edition, with added information and reorganizing the book into three logical parts. The first part provides the technical foundation of SDDC Management. It explains the difference between a software-defined data center and a classic physical data center, and how it impacts both architecture and operations. From this strategic view, it zooms into the most common challenges—performance management and capacity management. It introduces a new concept called Performance SLA and also a new way of doing capacity management. The next part provides the actual solution that you can implement in your environment. It puts the theories together and provides real-life examples created together with customers. It provides the reasons behind each dashboard, so that you get the understanding on why it is required and what problem it solves. The last part acts as a reference section. It provides a complete reference to vSphere and vRealize Operations counters, explaining their dependencies and providing practical guidance on the values you should expect in a healthy environment.
Table of Contents (28 chapters)
VMware Performance and Capacity Management Second Edition
Credits
Foreword
Foreword
About the Author
Acknowledgments
About the Reviewers
www.PacktPub.com
Preface
Part 1
Part 2
Part 3
Index

How many dashboards do I need?


The number of dashboards you will have depends on the size of the environment and the number of people managing it. An environment with 100 VMs in just five hosts and one cluster will need far fewer dashboards than an environment with 100,000 VMs spread over 5,000 ESXi, 500 clusters, 20 data centers, and 15 vCenter servers.

In a large environment, where you have many physical data centers and even more vSphere clusters, you will likely need to display the information per physical data center. There are several reasons for this:

  • Aggregating data at a global level, which spans many physical data centers, will hide too much information. Presenting data at such a level means you are getting an average of thousands of objects. If your environment is generally healthy (and it should be), the average will logically fall within a healthy range.

  • In most cases, the performance in a given physical data center is independent from that of other data centers. For example, your...